| Topological recurrent neural network for diffusion prediction J Wang, VW Zheng, Z Liu, KCC Chang Proceedings of The IEEE International Conference on Data Mining (ICDM), 2017 | 129 | 2017 |
| Semantic proximity search on heterogeneous graph by proximity embedding Z Liu, VW Zheng, Z Zhao, F Zhu, KCC Chang, M Wu, J Ying Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 81 | 2017 |
| Relative and absolute location embedding for few-shot node classification on graph Z Liu, Y Fang, C Liu, SCH Hoi Proceedings of the AAAI conference on artificial intelligence 35 (5), 4267-4275, 2021 | 42 | 2021 |
| Distance-aware dag embedding for proximity search on heterogeneous graphs Z Liu, V Zheng, Z Zhao, F Zhu, K Chang, M Wu, J Ying Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 41 | 2018 |
| Interactive paths embedding for semantic proximity search on heterogeneous graphs Z Liu, VW Zheng, Z Zhao, Z Li, H Yang, M Wu, J Ying Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 40 | 2018 |
| Tail-GNN: Tail-node graph neural networks Z Liu, TK Nguyen, Y Fang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 34 | 2021 |
| mg2vec: Learning relationship-preserving heterogeneous graph representations via metagraph embedding W Zhang, Y Fang, Z Liu, M Wu, X Zhang IEEE Transactions on Knowledge and Data Engineering 34 (3), 1317-1329, 2020 | 29 | 2020 |
| Subgraph-augmented path embedding for semantic user search on heterogeneous social network Z Liu, VW Zheng, Z Zhao, H Yang, KCC Chang, M Wu, J Ying Proceedings of the 2018 World Wide Web Conference, 1613-1622, 2018 | 28 | 2018 |
| Towards locality-aware meta-learning of tail node embeddings on networks Z Liu, W Zhang, Y Fang, X Zhang, SCH Hoi Proceedings of the 29th ACM International Conference on Information …, 2020 | 26 | 2020 |
| Meta-inductive node classification across graphs Z Wen, Y Fang, Z Liu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 20 | 2021 |
| Node-wise localization of graph neural networks Z Liu, Y Fang, C Liu, SCH Hoi International Joint Conferences on Artificial Intelligence, 2021 | 14 | 2021 |
| Neighbor-anchoring adversarial graph neural networks Z Liu, Y Fang, Y Liu, VW Zheng IEEE Transactions on Knowledge and Data Engineering 35 (1), 784-795, 2021 | 7 | 2021 |
| On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks Z Liu, Q Mao, C Liu, Y Fang, J Sun Proceedings of the ACM Web Conference 2022, 1506-1516, 2022 | 4 | 2022 |
| Learning to count isomorphisms with graph neural networks X Yu, Z Liu, Y Fang, X Zhang arXiv preprint arXiv:2302.03266, 2023 | 3 | 2023 |
| Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank M Chen, C Liu, Z Liu, J Sun Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| S2N2: An interpretive semantic structure attention neural network for trajectory classification C Jin, T Tao, X Luo, Z Liu, M Wu IEEE Access 8, 58763-58773, 2020 | 3 | 2020 |
| Hinormer: Representation learning on heterogeneous information networks with graph transformer Q Mao, Z Liu, C Liu, J Sun arXiv preprint arXiv:2302.11329, 2023 | 2 | 2023 |
| FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data C Jin, Z Liu, M Wu, J Ying Mobile Information Systems 2015, 2015 | 2 | 2015 |
| 一种流数据立方体分析挖掘框架 金苍宏， 刘泽民， 吴明晖， 应晶 电信科学 30 (9), 61-71, 2014 | 2 | 2014 |
| GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Z Liu, X Yu, Y Fang, X Zhang Proceedings of the ACM Web Conference 2023, 417-428, 2023 | 1 | 2023 |
Yuan FANGAssistant Professor, School of Computing and Information Systems, Singapore Management UniversityVerified email at smu.edu.sg
